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ML
2002
ACM
223views Machine Learning» more  ML 2002»
14 years 9 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
ACL
2007
14 years 10 months ago
SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking
We study the issue of porting a known NLP method to a language with little existing NLP resources, specifically Hebrew SVM-based chunking. We introduce two SVM-based methods – ...
Yoav Goldberg, Michael Elhadad
COLING
2000
14 years 10 months ago
Tagging and Chunking with Bigrams
In this paper we present an integrated system for tagging and chunking texts from a certain language. The approach is based on stochastic finite-state models that are learnt autom...
Ferran Pla, Antonio Molina, Natividad Prieto
CICLING
2010
Springer
14 years 4 months ago
A Chunk-Driven Bootstrapping Approach to Extracting Translation Patterns
Abstract. We present a linguistically-motivated sub-sentential alignment system that extends the intersected IBM Model 4 word alignments. The alignment system is chunk-driven and r...
Lieve Macken, Walter Daelemans
CICLING
2010
Springer
15 years 21 days ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...